A novel wake model for wind farm design on complex terrains

Kuo, Jim; Rehman, Danyal; Romero, David A.; Amón, Cristina H.

doi:10.1016/j.jweia.2017.12.016

Cited by 21 publications

(6 citation statements)

References 23 publications

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“…Qian and Ishihara [35] developed a mechanistic analytical wake model accounting for turbulence intensity, and validated with experimental results. Then, Lopez et al [38] developed an accurate and low-cost numerical field model, building on the unyawed wake model by Kuo et al [39] and the yawed wake model by Qian and Ishihara [35]. Shapiro et al [40] derived a new model based on the aerodynamic lifting line theory.…”

Section: Introductionmentioning

confidence: 99%

Wind Farm Yaw Optimization via Random Search Algorithm

Kuo

Pan

et al. 2020

Energies

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One direction in optimizing wind farm production is reducing wake interactions from upstream turbines. This can be done by optimizing turbine layout as well as optimizing turbine yaw and pitch angles. In particular, wake steering by optimizing yaw angles of wind turbines in farms has received significant attention in recent years. One of the challenges in yaw optimization is developing fast optimization algorithms which can find good solutions in real-time. In this work, we developed a random search algorithm to optimize yaw angles. Optimization was performed on a layout of 39 turbines in a 2 km by 2 km domain. Algorithm specific parameters were tuned for highest solution quality and lowest computational cost. Testing showed that this algorithm can find near-optimal (<1% of best known solutions) solutions consistently over multiple runs, and that quality solutions can be found under 200 iterations. Empirical results show that as wind farm density increases, the potential for yaw optimization increases significantly, and that quality solutions are likely to be plentiful and not unique.

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Section: Introductionmentioning

confidence: 99%

Wind Farm Yaw Optimization via Random Search Algorithm

Kuo

Pan

et al. 2020

Energies

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“…Several studies have proposed a few fast wake models for wind farms in complex terrain: Song et al proposed a virtual particle wake model [24] and applied it in wind farm layout optimizations [12,13]; Feng and Shen developed an adapted Jensen wake model in [14]; Kuo et al [25] proposed a wake model by solving a simplified variation of the Navies-Stokes equations, which yields results with a reasonable accuracy and has a much less computational cost when compared with full CFD simulations.…”

Section: Wake Modelmentioning

confidence: 99%

An Optimization Framework for Wind Farm Design in Complex Terrain

Feng

Shen

2018

Applied Sciences

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Designing wind farms in complex terrain is an important task, especially for countries with a large portion of complex terrain territory. To tackle this task, an optimization framework is developed in this study, which combines the solution from a wind resource assessment tool, an engineering wake model adapted for complex terrain, and an advanced wind farm layout optimization algorithm. Various realistic constraints are modelled and considered, such as the inclusive and exclusive boundaries, minimal distances between turbines, and specific requirements on wind resource and terrain conditions. The default objective function in this framework is the total net annual energy production (AEP) of the wind farm, and the Random Search algorithm is employed to solve the optimization problem. A new algorithm called Heuristic Fill is also developed in this study to find good initial layouts for optimizing wind farms in complex terrain. The ability of the framework is demonstrated in a case study based on a real wind farm with 25 turbines in complex terrain. Results show that the framework can find a better design, with 2.70% higher net AEP than the original design, while keeping the occupied area and minimal distance between turbines at the same level. Comparison with two popular algorithms (Particle Swarm Optimization and Genetic Algorithm) also shows the superiority of the Random Search algorithm.

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“…Numerical models of wake interactions of wind turbines under varying turbulent inflow conditions using the actuator line technique and EllipSys3D Navier-Stokes solver were carried out and show good agreement with field measurements of wake deficit and turbulence intensity for two inline turbines [11]. Other numerical investigations have looked into numerous wake interaction numerical modeling techniques for optimal design of wind farms [15]. Blind studies were conducted where various groups around the world made attempts to model wake development in wind farms [16].…”

Section: Introductionmentioning

confidence: 99%

Wind Turbine Systematic Wake to Wake Analysis: Quantification of Turbulence and Statistical Analysis for Optimal Wind Farm Design

Mark

Weerasekera

Biswas

et al. 2022

JENRR

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Through this work, we have analyzed wake to wake interactions between horizontal axis wind turbines located in line to each other. We have quantified wake interactions based on hot wire anemometric data and statistical correlations using a model wind farm fabricated inside a wind tunnel. The results of these measurements show that a high level of turbulent kinetic energy is generated at the region of intersection between rotor and stator wakes. Numerical models of wake interactions of wind turbines under varying turbulent inflow conditions using the actuator line technique and EllipSys3D Navier-Stokes solver were carried out to resolve dynamics of wake interactions. Our results showed good agreement with field measurements of wake deficit and turbulence intensity for inline and eccentric turbine arrangements.

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A novel wake model for wind farm design on complex terrains

Cited by 21 publications

References 23 publications

Wind Farm Yaw Optimization via Random Search Algorithm

Wind Farm Yaw Optimization via Random Search Algorithm

An Optimization Framework for Wind Farm Design in Complex Terrain

Wind Turbine Systematic Wake to Wake Analysis: Quantification of Turbulence and Statistical Analysis for Optimal Wind Farm Design

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